Michael R. Tallack

43 total papers · 1.4k total citations
25 papers, 1.1k citations indexed

About

Michael R. Tallack is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Michael R. Tallack has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Genetics. Recurrent topics in Michael R. Tallack's work include Kruppel-like factors research (17 papers), Hemoglobinopathies and Related Disorders (8 papers) and Genetic Syndromes and Imprinting (6 papers). Michael R. Tallack is often cited by papers focused on Kruppel-like factors research (17 papers), Hemoglobinopathies and Related Disorders (8 papers) and Genetic Syndromes and Imprinting (6 papers). Michael R. Tallack collaborates with scholars based in Australia, United States and China. Michael R. Tallack's co-authors include Andrew C. Perkins, Janelle R. Keys, Timothy L. Bailey, Graham Magor, Lei Sun, Tom Whitington, Nicole Cloonan, Elanor N. Wainwright, Wai Shan Yuen and Patrick O. Humbert and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michael R. Tallack

24 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael R. Tallack 774 394 267 187 160 25 1.1k
Shuaiying Cui 617 0.8× 407 1.0× 219 0.8× 138 0.7× 124 0.8× 26 921
Maria Rosa Lidonnici 445 0.6× 405 1.0× 442 1.7× 118 0.6× 64 0.4× 32 944
Purificación Catalina 631 0.8× 195 0.5× 151 0.6× 83 0.4× 91 0.6× 31 995
Jeffrey R. Shearstone 642 0.8× 137 0.3× 145 0.5× 161 0.9× 108 0.7× 27 998
Roy Drissen 651 0.8× 161 0.4× 224 0.8× 115 0.6× 46 0.3× 17 921
Beeke Wienert 1.0k 1.3× 420 1.1× 147 0.6× 59 0.3× 49 0.3× 16 1.2k
Boris Guyot 551 0.7× 174 0.4× 258 1.0× 110 0.6× 65 0.4× 27 817
Xinjun Ji 883 1.1× 145 0.4× 80 0.3× 66 0.4× 378 2.4× 23 1.1k
Koichi R. Katsumura 561 0.7× 105 0.3× 257 1.0× 100 0.5× 87 0.5× 23 844
Andrew L. Young 383 0.5× 351 0.9× 658 2.5× 32 0.2× 324 2.0× 23 1.1k

Countries citing papers authored by Michael R. Tallack

Since Specialization
Citations

This map shows the geographic impact of Michael R. Tallack's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael R. Tallack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Tallack more than expected).

Fields of papers citing papers by Michael R. Tallack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Tallack. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael R. Tallack. The network helps show where Michael R. Tallack may publish in the future.

Co-authorship network of co-authors of Michael R. Tallack

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Tallack. A scholar is included among the top collaborators of Michael R. Tallack based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael R. Tallack. Michael R. Tallack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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